{"id":"W4283715795","doi":"10.1149/1945-7111/ac7d10","title":"Detection of Alcohol Content in Food Products by Lossy Mode Resonance Technique","year":2022,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Science and Engineering Research Board","keywords":"Nanorod; Materials science; Optical fiber; Fiber; Multi-mode optical fiber; Coating; Figure of merit; Fiber optic sensor; Selectivity; Sensitivity (control systems); Methanol; Optoelectronics; Nanotechnology; Optics; Chemistry; Composite material; Electronic engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002967053,0.0001133879,0.0002532341,0.00001164082,0.00005923423,0.000004021139,0.0003654216,0.00009466321,0.00001888293],"category_scores_gemma":[0.0003029111,0.00008702402,0.0003211573,0.0003631763,0.00006142644,0.00003614772,0.00009808875,0.00118775,1.461889e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004017532,"about_ca_system_score_gemma":0.00004364443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000622001,"about_ca_topic_score_gemma":3.059803e-7,"domain_scores_codex":[0.9987423,0.00003630685,0.0004507574,0.0001371501,0.0003989128,0.0002345701],"domain_scores_gemma":[0.9993667,0.00007395394,0.0002484336,0.0001580187,0.00009994231,0.00005297781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009155736,0.0001170709,0.00005745721,0.00003597051,0.00004294597,6.523708e-7,0.00006879954,0.00009156481,0.9989722,0.0000320443,0.0004385299,0.00005120959],"study_design_scores_gemma":[0.0003825105,0.00009719285,0.00001493982,0.00002639837,0.00001935531,0.00005961583,0.00006013126,0.002271814,0.9943142,0.0003835043,0.00227737,0.00009294785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869983,0.001558404,0.009663579,0.001319284,0.00006200581,0.0001968064,0.0000126689,0.00002058117,0.0001683234],"genre_scores_gemma":[0.9987401,0.00003437598,0.0006871129,0.000107614,0.00007915975,0.0000123543,0.000001185414,0.00001359122,0.0003244476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01174181,"threshold_uncertainty_score":0.5160248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01346914752727433,"score_gpt":0.2217758027634797,"score_spread":0.2083066552362054,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}